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GitHub GitHub-Copilot Exam Syllabus Topics:

Section	Weight	Objectives
Apply Prompt Engineering and Context	10-15%	- Model-specific prompting, context files, best practices
Responsible AI	15-20%	- Ethics, validation, bias mitigation, transparency
Improve Developer Productivity	10-15%	- Agent workflows, productivity, SDLC integration
Configure Privacy, Exclusions, Safeguards	10-15%	- Agent permissions, content exclusions, org policies
GitHub Copilot Features	25-30%	- Multi-model, Agent Mode, Mission Control, BYOK
Understand GitHub Copilot Data and Architecture	10-15%	- Pipeline, MCP, context gathering, data handling

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GitHub CopilotCertification Exam Sample Questions (Q10-Q15):

NEW QUESTION # 10
GitHub Copilot in the Command Line Interface (CLI) can be used to configure the following settings: (Each correct answer presents part of the solution. Choose two.)

A. Usage analytics
B. GitHub CLI subcommands
C. The default editor
D. The default execution confirmation

Answer: A,D

Explanation:
GitHub Copilot in the CLI allows configuration of settings such as the default execution confirmation and usage analytics. These settings help tailor the CLI experience to the user's preferences.

NEW QUESTION # 11
Where can you validate if GitHub Copilot is not returning suggestions because of content exclusions?

A. The GitHub Copilot logs on GitHub.com under your user settings
B. The GitHub Copilot errors panel in your IDE
C. The GitHub Copilot icon in the status bar of the editor will display a message
D. The code suggestions window will display a warning message

Answer: C

Explanation:
The GitHub Copilot icon in your editor's status bar will display a message whenever suggestions are blocked due to content exclusions, making it the place to check for such notifications.

NEW QUESTION # 12
Which of the following is correct about GitHub Copilot Knowledge Bases?

A. Indexing is static
B. It is an Enterprise feature
C. All file types are indexed
D. All repos are indexed

Answer: B

Explanation:
GitHub Copilot Knowledge Bases is an Enterprise feature that allows the tool to use an organization's internal documentation and code for more accurate and relevant suggestions.

NEW QUESTION # 13
What is the impact of the "Fill-In-the-Middle" (FIM) technique on GitHub Copilot's code suggestions?

A. Allows Copilot to generate suggestions based only on the prefix of the code.
B. Improves suggestions by considering both the prefix and suffix of the code, filling in the middle part more accurately.
C. Ignores both the prefix and suffix of the code, focusing only on user comments for context.
D. Restricts Copilot to use only external databases for generating code suggestions.

Answer: B

Explanation:
The Fill-In-the-Middle technique lets Copilot look at both what comes before and after your cursor, so it can generate the "missing" code between those segments more accurately.

NEW QUESTION # 14
How do you generate code suggestions with GitHub Copilot in the CLI?

A. Describe the project's architecture -> Use the copilot generate command -> Accept the generated suggestion.
B. Use 'gh copilot suggest' -> Write the command you want -> Select the best suggestion from the list.
C. Write code comments -> Press the suggestion shortcut -> Select the best suggestion from the list.
D. Type out the code snippet -> Use the copilot refine command to enhance it -> Review the suggested command.

Answer: B

Explanation:
In the terminal you invoke Copilot with the GitHub CLI by running gh copilot suggest, then enter your natural‑language request and choose from the list of command suggestions it returns.

NEW QUESTION # 15
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